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  1. Proceedings of the third ACM Haskell symposium on Haskell (Haskell '10)
  2. Seq no more: better strategies for parallel Haskell
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Invertible syntax descriptions: unifying parsing and pretty printing
A systematic derivation of the STG machine verified in Coq
Nikola: embedding compiled GPU functions in Haskell
An llVM backend for GHC
Species and functors and types, oh my!
The performance of the Haskell containers package
A generic deriving mechanism for Haskell
Concurrent orchestration in Haskell
Hoopl: a modular, reusable library for dataflow analysis and transformation
Exchanging sources between clean and Haskell: a double-edged front end for the clean compiler
Seq no more: better strategies for parallel Haskell
Supercompilation by evaluation
Experience report: using hackage to inform language design
Scalable i/o event handling for GHC

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Seq no more: better strategies for parallel Haskell

Content Provider ACM Digital Library
Author Trinder, Phil Marlow, Simon Maier, Patrick Loidl, Hans-Wolfgang Aswad, Mustafa K.
Abstract We present a complete redesign of evaluation strategies, a key abstraction for specifying pure, deterministic parallelism in Haskell. Our new formulation preserves the compositionality and modularity benefits of the original, while providing significant new benefits. First, we introduce an evaluation-order monad to provide clearer, more generic, and more efficient specification of parallel evaluation. Secondly, the new formulation resolves a subtle space management issue with the original strategies, allowing parallelism (sparks) to be preserved while reclaiming heap associated with superfluous parallelism. Related to this, the new formulation provides far better support for speculative parallelism as the garbage collector now prunes unneeded speculation. Finally, the new formulation provides improved compositionality: we can directly express parallelism embedded within lazy data structures, producing more compositional strategies, and our basic strategies are parametric in the coordination combinator, facilitating a richer set of parallelism combinators. We give measurements over a range of benchmarks demonstrating that the runtime overheads of the new formulation relative to the original are low, and the new strategies even yield slightly better speedups on average than the original strategies.
Starting Page 91
Ending Page 102
Page Count 12
File Format PDF QT / MOV
ISBN 9781450302524
DOI 10.1145/1863523.1863535
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-09-30
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Parallel functional programming Strategies
Content Type Video Text
Resource Type Article
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